125 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Stanford UniversityUS2 papers
- University of California, BerkeleyUS2 papers
- Alibaba Group (China)CN1 paper
- Berkeley CollegeUS1 paper
- Bioengineering CenterRU1 paper
- Brookings InstitutionUS1 paper
- California State University, SacramentoUS1 paper
- Cardiovascular Institute of the SouthUS1 paper
- Film IndependentUS1 paper
- High Energy Accelerator Research OrganizationJP1 paper
- IIT@MITUS1 paper
- Independent SectorUS1 paper
8 papers
Reimagining Open Source and Openness in AI: Co-Creating Responsible Technological Futures
Genevieve Smith, Hiral Patel, Steven Luo +20
Debates over open source and openness in artificial intelligence have intensified as policymakers, researchers, and practitioners grapple with how foundation models should be devel…
AdaMMS: Model Merging for Heterogeneous Multimodal Large Language Models with Unsupervised Coefficient Optimization
Yiyang Du, Xiaochen Wang, Chi Chen +9
Recently, model merging methods have demonstrated powerful strengths in combining abilities on various tasks from multiple Large Language Models (LLMs). While previous model mergin…
Open Source Software in the Public Sector: 25 years and still in its infancy
Johan Linåker, Gregorio Robles, Deborah Bryant +1
The proliferation of Open Source Software (OSS) adoption and collaboration has surged within industry, resulting in its ubiquitous presence in commercial offerings and shared digit…
Automated generation of 0D and 1D reduced-order models of patient-specific blood flow
Martin R. Pfaller, Jonathan Pham, Aekaansh Verma +5
Three-dimensional (3D) cardiovascular fluid dynamics simulations typically require hours to days of computing time on a high-performance computing cluster. One-dimensional (1D) and…
Best practices for constructing, preparing, and evaluating protein-ligand binding affinity benchmarks
David F. Hahn, Christopher I. Bayly, Hannah E. Bruce Macdonald +8
Free energy calculations are rapidly becoming indispensable in structure-enabled drug discovery programs. As new methods, force fields, and implementations are developed, assessing…
A Deep-Learning Approach For Direct Whole-Heart Mesh Reconstruction
Fanwei Kong, Nathan Wilson, Shawn C. Shadden
Automated construction of surface geometries of cardiac structures from volumetric medical images is important for a number of clinical applications. While deep-learning-based appr…
On the periodicity of cardiovascular fluid dynamics simulations
Martin R. Pfaller, Jonathan Pham, Nathan M. Wilson +2
Three-dimensional cardiovascular fluid dynamics simulations typically require computation of several cardiac cycles before they reach a periodic solution, rendering them computatio…
Development of a Time-resolved Neutron Imaging Detector Based on the μPIC Micro-Pixel Chamber
Joseph D Parker, Masahide Harada, Kaori Hattori +19
We have developed a prototype time-resolved neutron imaging detector employing a micro-pattern gaseous detector known as the micro-pixel chamber (μPIC) coupled with a field-program…